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. The team uses innovative large datasets and applies rigorous empirical methods to estimate causal effects. The successful candidate(s) will be part of the PhD programme of the Department of Management
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of PhD students and postdocs at the IMB by applying (and/or advising on) appropriate biostatistics and modelling methods for the analysis, integration and visualization of omics data (e.g., genomics
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Pomeranz from the University of Zurich, as well as the postdocs, PhD students and other student research assistants involved in the project. You will be responsible for coding the content of Swiss collective
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100%, Zurich, fixed-term The Swiss Seismological Service (SED ) at the Department of Earth Sciences at ETH Zürich invites applications for a fully funded 4-year PhD position in Machine Learning
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extremes under different air pollution along a climatic gradient in Europe. Moreover, we will use statistical (e.g., random forest, generalised additive models) and process-based (e.g., SPA) models
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analyze the data. Your task will be to correlate biomarkers derived from rTMS and NIRI with clinical outcomes, in order to personalize stroke rehabilitation and improve the recovery process. Statistical
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security standards, while allowing an high-degree of flexibility for end-user scientist to experiment with cutting edge biomedical research - from classical bioinformatics and statistics to large-scale data
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and communication strategies. This ambitious project invites passionate PhD candidates to contribute to pioneering studies that merge theoretical insights with practical applications, marking a
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the statistical software package Stata and/or R (Python is a plus) Prior experience with data cleaning and management Fluency in German and English Excellent writing skills (in German and English) Very good
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of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) PhD Student to develop and apply in vivo functional genomic methods. Project